http://brianwhitworth.com/STS/WordleCover.png Conversations about data. 1 st class v discourse
http://gbeaubouef.files.wordpress.com/2012/01/slide1.jpg http://eksouth.weebly.com/uploads/6/5/2/3/6523461/8933221.jpg Or lecture you, or cheer lead.
ICSU should establish a forum for the exploration and eventual agreement in relation to science of all the terms used under the broad umbrella of Open Access .
ICSU should engage actively with publishers of all kinds together with the library community and with scientific researchers to document and promote community best practice in the handling of supplemental material, publication of data and appropriate data citation. http://www.einstruction.com/files/default/files/publishers.jpg
There are lots of different kinds of audiences interested in data. While we are talking about using data in the classroom today, several other audiences of are importance to Virtual observatories. In particular, on the more strategic end are groups that, while smaller, have great impact on the public ’s and the government’s perception of the value of the data and its providers. In this category, I would place both science policy specialists and the media. Policy specialists and decision makers have a tremendous impact on budgets, but also feel, at least at some level, beholden to the tax payers. They want to see the impact that data has on people’s lives. They are also looking for information that will help them made an informed decision. In addition, the media plays a critical role, providing about 85% of the science content to the general public. A third group that is worth considering is the educated general public (the science-attentive public). They take science very seriously and can be a vocal advocate for a scinetific resource -- look at the Hubble scenario as an example.
Fox-Keynote-Now and Now of Data Publishing-nfdp13
Peter Fox (RPI) @taswegian
May 22, 2013, Oxford, UK
The Now and Now for Data: Metaphors for
Making Data Publically Available
Am not going to …
http://mp-datamatters.blogspot.com/ Is Data Publication the Right Metaphor? http://dx.doi.org/10.2481/dsj.WDS-042
International Council for Science – Strategic Coordinating
Committee on Information and Data - recommendation
= data access and
ICSU SCCID recommendation
– publishers of all kinds together
– library community
– scientific researchers
– Document and promote community
best practice in the handling of
supplemental material, publication of
data and appropriate data citation.
• Data as a first class object
• As a subject of
conversation (v. discourse)
• Metaphors to achieve this
abound and indicate a
bias, edict, etc…)
It seems we are not quite there yet
conversations (like the
one today) about data+x
ownership, trust, …)
= ./ ../ // and / (unixtm
Data Information Knowledge
• A framework
Data perspective under some metaphors
Fitness for Purpose Fitness for Use
For others: Is this separation good or not?
Fitness for Purpose Fitness for Use
This may be us, or others
From: C. Borgman, 2008, NSF Cyberlearning Report
Global Change Information System (GCIS)
A unified web based source of
authoritative, accessible, usable, and
timely information about climate and
global change for use by scientists,
decision makers, and the public.
Prototype Use Case
Name Discover and visit data center website of dataset used to generate report figure.
Goal The NCA Report reader sees a figure and wants to know where the data came from.
Summary A reader of the NCA is browsing the content via the website. He/she sees a figure and wants to know where the data came from. A reference
to the publication in which the figure originated appears in the figure caption. Selecting the link to the source publication displays a page of
information about the publication including, if available, the publication DOI. The page also includes references to the datasets cited in the
publication. Following each of dataset reference links presents a page of information about the dataset, including links back to the agency/data
center webpage describing the dataset in more detail and making the actual data available for order or download.
Actors Primary Actor - reader of the NCA
Preconditions Reader is viewing the NCA online report
Post Conditions Reader visits the data center dataset website
Normal Flow 1) System is presenting the NCA report to the reader in a web site. Presentation includes report figure with caption that includes reference to
2) Reader selects publication reference in figure caption
3) System displays information about publication, including DOI (if available).
4) Publication information includes publication dataset citations.
5) Reader selects a dataset cited by the publication.
6) System displays information about dataset including links to agency / data center webpages where more information and (potentially) data
download links are available.
7) Reader selects the data center link and is redirected to data center dataset webpage.
Discover and visit data center website of dataset used to generate report figure.
Non-specialist Use Case
Name Find Latest Datasets by Keyword
Goal Search for datasets associated with the keyword “snow”, list search results by recentness of publication.
Summary User story:
I want to look for information concerning “snow.” I don’t know if it is a CLEAN word or a GCMD word or don’t even know what GCMD
or CLEAN is. How would I do it, and what would I see on my monitor during the process?
Assumptions The reader is not assumed to have knowledge regarding the GCMD Keywords (or other) vocabulary.
Actors Primary Actor - reader of the NCA
Post Conditions Reader is presented with a list of datasets associated with the keyword “snow” sorted by dataset publication date.
Normal Flow TBD
Notes We are looking into two user interface options for dataset selection by keyword
1)As a free-text search where the user inputs “snow”.
2)Present the user a faceted browse interface with a vocabulary faceted which presents the user with terms from a structured vocabulary. The
user can manually select the term(s) which match or contain “snow”.
We intend to implement prototypes of both.
Search for datasets with the keyword “snow”, ….
From my Research Data Alliance talk; #5
• Please all SNAP your fingers (1, 2, 3,
• <snap> the culture around data has to
change, as well as how we think about
Call to discussion
• Multiple metaphors, many considerations
• An ecosystem approach allows multiple solutions in a
complex socio-technical system – transactions among
providers and consumers
– Significant opportunities for under-served data generators to get
their data ‘out there’ perhaps publication (still a metaphor!)
• Data Review !== Peer Review and more role disconnects
• Please read our Data Science Journal essay and respond!
• Thanks for your attention - firstname.lastname@example.org , http://tw.rpi.edu
Pros/Cons - Data Centres (‘big iron’)
• Reprocessing capability
• Central authority
• Over-reliance on automation
• Weak documentation
• Use is assumed
• Roles ill-defined, reputation?
• Does not handle heterogeneity
• Preservation ?
• Overly focused on generation
Pros/Cons - Publishers
• Shifted burden
• De-facto preservation
• Based on science norms
• Not machine
• Not scalable
• Cannot verify use
Pros/Cons - Release (software)
• Many stages (alpha, beta,
release candidate, release)
• Documented and change
• Intends to couple user
feedback to developers
• Licensing well thought out
• Provenance implicit
• Preservation poorly dealt with
• Quality may be difficult to
• Attribution not part of the mind-
• Derivative or embedded use
not always well defined
Pros/Cons - Linked data
• Built on web
• Simple model design
• Machine processable
• No central authority
• Use not assumed
• Flexible evolution
• Supports encapsulation
• Poor versioning
• Poor auditing
• No imprimatur
• No preservation/ stewardship
• Not human friendly
• Heterogeneous vocab.
• Changes data model
• Unknown evolution
.. Data has Lots of Audiences
From “Why EPO?”, a NASA internal
report on science education, 2005